Geochemical Characteristics of Sapropelite in the Bazhenov Formation Deposits
Bibliographic record
Abstract
Summary Due to increasing interest to oil shales, study of the Bazhenov Formation deposits of the West Siberian Petroleum Basin is progressing extensively. Despite the seeming homogeneity, in closer observation the composition of the Bazhenov Formation rocks vary significantly. The main objectives were to characteristic lithology and geochemistry of the Bazhenov Formation rocks containing sapropelite interlayers. The material for the present study were core samples from several wells located in the central part of the West Siberian Petroleum Basin. During this research, samples were selected, petrographic thin sections were made and described, and pyrolysis and kinetic studies were carried out by the HAWK pyrolysis from Wildcat Technology. The current study reveals, sapropelite interlayers are characterized by high content of alginitic organic matter. The origin is yet unknown but two possible ways of forming of such deposits were proposed. The Bazhenov Formation sapropelite consist of 30÷35 % alginate with quartz and chalcedonic inclusions. Pyrolysis characteristics of sapropelite interlayers differ from host deposits by anomalously high hydrogen index HI (up to 1015 mg HC/g TOC). According to bulk-kinetics study, the whole organic matter of sapropelites transforms to HCs at single Ea around 53 kcal/mol.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".